A rule-based expert system for harmonic load recognition

K. C. Umeh, Azah Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a new method for identifying the different types of single phase nonlinear loads as sources of harmonic disturbances in a power system. The method combines the use of signal processing and artificial intelligence techniques. Fast Fourier transform and fractal analyses have been used to extract features of the harmonic signatures of the various nonlinear loads from the sampled input current waveforms. Intelligent and automatic harmonic load recognition process Is achieved by using a rule-based expert system. The expert system has been verified using real measurements and the results show that the system give accurate identification of the single phase nonlinear loads such as personal computer, fluorescent lights, uninterruptible power supply and oscilloscope.

Original languageEnglish
Title of host publicationNational Power and Energy Conference, PECon 2004 - Proceedings
Pages19-24
Number of pages6
Publication statusPublished - 2004
EventNational Power and Energy Conference, PECon 2004 - Kuala Lumpur
Duration: 29 Nov 200430 Nov 2004

Other

OtherNational Power and Energy Conference, PECon 2004
CityKuala Lumpur
Period29/11/0430/11/04

Fingerprint

Expert systems
Uninterruptible power systems
Personal computers
Fractals
Fast Fourier transforms
Artificial intelligence
Signal processing

Keywords

  • Expert system
  • Fast Fourier transforms
  • Fractal analysis
  • Harmonics
  • Power quality

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Umeh, K. C., & Mohamed, A. (2004). A rule-based expert system for harmonic load recognition. In National Power and Energy Conference, PECon 2004 - Proceedings (pp. 19-24). [CAPI-2]

A rule-based expert system for harmonic load recognition. / Umeh, K. C.; Mohamed, Azah.

National Power and Energy Conference, PECon 2004 - Proceedings. 2004. p. 19-24 CAPI-2.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Umeh, KC & Mohamed, A 2004, A rule-based expert system for harmonic load recognition. in National Power and Energy Conference, PECon 2004 - Proceedings., CAPI-2, pp. 19-24, National Power and Energy Conference, PECon 2004, Kuala Lumpur, 29/11/04.
Umeh KC, Mohamed A. A rule-based expert system for harmonic load recognition. In National Power and Energy Conference, PECon 2004 - Proceedings. 2004. p. 19-24. CAPI-2
Umeh, K. C. ; Mohamed, Azah. / A rule-based expert system for harmonic load recognition. National Power and Energy Conference, PECon 2004 - Proceedings. 2004. pp. 19-24
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